Serum insulin-like growth factor binding protein-1: an improvement over other simple indices of insulin sensitivity in the assessment of subjects with normal glucose tolerance

Author:

Borai Anwar1,Livingstone Callum12,Zarif Hawazen3,Ferns Gordon12

Affiliation:

1. Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH

2. Department of Clinical Biochemistry, Royal Surrey County Hospital, Guildford GU2 7XX, UK

3. Department of Medicine, King Khalid National Guard Hospital, P.O. Box 4354, Jeddah 21491, Saudi Arabia

Abstract

Background Insulin resistance is associated with an increased risk of cardiovascular disease and diabetes. It can be assessed using complex reference techniques, such as clamp or frequently sampled intravenous glucose tolerance test (FSIVGTT). Therefore, simple indices derived from fasting insulin and glucose concentrations have been proposed. The aim of this study is to assess fasting serum insulin-like growth factor binding protein-1 (IGFBP-1) as a simple index of insulin sensitivity compared with other simple indices and FSIVGTT. Methods Fasting serum IGFBP-1, fasting plasma insulin (FPI), homeostasis model assessment (HOMA-IR), quantitative insulin check index (QUICKI), fasting glucose to insulin ratio (FGIR), Raynaud and insulin glycaemic index (ISI-gly) were correlated with FSIVGTT (Si) in 22 subjects with normal glucose tolerance (NGT) and nine with impaired fasting glucose (IFG). Results In NGT individuals, IGFBP-1 correlated more strongly with Si than did any other index both before ( r = 0.76) and after ( r = 0.79) natural logarithm (ln) transformation. In subjects with IFG, IGFBP-1 was weakly correlated with Si before and after ln-transformation ( r = 0.55, r = 0.56, respectively), but ISI-gly was the index most strongly correlated with Si ( r = 0.77, r = 0.85, respectively). Conclusions In subjects with NGT, fasting serum IGFBP-1 could be used as a simple reliable marker of insulin sensitivity. For more accurate estimation of insulin sensitivity in normal subjects and those with IFG, ln-transformation is preferred over raw data.

Publisher

SAGE Publications

Subject

Clinical Biochemistry,General Medicine

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